Marianne Strand Torvanger

Image of Marianne Strand Torvanger
Norwegian version of this page
Room 3419
Username
Visiting address Blindernveien 31 0371 Oslo
Postal address Postboks 1066 Blindern 0316 Oslo
Other affiliations Faculty of Mathematics and Natural Sciences (Student)

Academic interests

I am a PhD student at CEES, as a part of the interdisciplinary project BEE-DIVERSE: "Improving wild bee conservation by integrating functional ecology with genome-wide biodiversity estimates" led by Bastiaan Star (CEES) and Markus Sydenham (NINA).

In my research, I will combine landscape ecology and functional trait analyses to locate areas important for wild bee conservation. Working interdisciplinary (together with PhD student Emma F. Eriksen), we are going to combine ecological and genomic analyses of wild bees to work against the 'Insect Apocalypse'.

During my studies at NMBU I developed a deep interest in ecology, zoology and entomology (especially issues relating to global change and biodiversity conservation), and cannot wait to dive further into the great world of the wild bees.

Central questions include:

What habitat criteria, ecological and functional traits predict wild bee occurrence, and how does this vary between different habitats and landscape types?

Can we model distribution patterns of bees and how different ecological groups of bees respond to specific effects of global change?

Can we use bees as model organisms to generalize pollination services from other pollinating insects?

Overall, how can we mitigate further loss of insects during global change?

Teaching assistance

Tags: Entomology, Ecology, Zoology, Biodiversity, Conservation biology, Landscape ecology, Ecological statistics, Pollinator ecology, Klimaendringer, dyr

Publications

  • Sydenham, Markus A. K.; Venter, Zander; Eldegard, Katrine; Torvanger, Marianne Strand; Nowell, Megan Sara & Hansen, Silke [Show all 11 contributors for this article] (2023). The contributions of flower strips to wild bee conservation in agricultural landscapes can be predicted using pollinator habitat suitability models. Ecological Solutions and Evidence. ISSN 2688-8319. 4(4). doi: 10.1002/2688-8319.12283. Full text in Research Archive

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Published Sep. 6, 2022 1:49 PM - Last modified Jan. 29, 2024 1:28 PM